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Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1111

Title: An auto-tuning algorithm for the IRBF network of brushless DC motor
Authors: Ho, Siu-lau
Fei, Minrui
Cheng, K. W. Eric
Wong, Ho-ching Chris
Subjects: DC motors
Finite element analysis
Radial basis function networks
Issue Date: Mar-2004
Publisher: IEEE
Citation: IEEE transactions on magnetics, Mar. 2004, v. 40, no. 2, p. 1168-1171
Abstract: The integrated radial basis function (IRBF) network has been reported as an efficient algorithm to study the performance of brushless dc motors. However, such an algorithm cannot be implemented readily since it is difficult to auto-tune or even to find the undetermined coefficients in the integrated RBF network. In this paper, a novel auto-tuning algorithm that can effectively guarantee the automatic implementation of the integrated RBF network of a brushless dc motor is reported.
Rights: © 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Type: Journal/Magazine Article
URI: http://hdl.handle.net/10397/1111
ISSN: 00189464
Appears in Collections:EE Journal/Magazine Articles
IC Journal/Magazine Articles

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